{"id":"https://openalex.org/W2278390984","doi":"https://doi.org/10.1145/2939672.2939771","title":"TRI\u00c8ST","display_name":"TRI\u00c8ST","publication_year":2016,"publication_date":"2016-08-08","ids":{"openalex":"https://openalex.org/W2278390984","doi":"https://doi.org/10.1145/2939672.2939771","mag":"2278390984"},"language":"en","primary_location":{"id":"doi:10.1145/2939672.2939771","is_oa":true,"landing_page_url":"https://doi.org/10.1145/2939672.2939771","pdf_url":"http://dl.acm.org/ft_gateway.cfm?id=2939771&type=pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"http://dl.acm.org/ft_gateway.cfm?id=2939771&type=pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5110486143","display_name":"Lorenzo De Stefani","orcid":null},"institutions":[{"id":"https://openalex.org/I27804330","display_name":"Brown University","ror":"https://ror.org/05gq02987","country_code":"US","type":"education","lineage":["https://openalex.org/I27804330"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Lorenzo De Stefani","raw_affiliation_strings":["Brown University, Providence, RI, USA"],"affiliations":[{"raw_affiliation_string":"Brown University, Providence, RI, USA","institution_ids":["https://openalex.org/I27804330"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037972828","display_name":"Alessandro Epasto","orcid":"https://orcid.org/0000-0003-0456-3217"},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Alessandro Epasto","raw_affiliation_strings":["Google, New York, NY, USA"],"affiliations":[{"raw_affiliation_string":"Google, New York, NY, USA","institution_ids":["https://openalex.org/I1291425158"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021368473","display_name":"Matteo Riondato","orcid":"https://orcid.org/0000-0003-2523-4420"},"institutions":[{"id":"https://openalex.org/I4210139661","display_name":"Two Sigma Investments (United States)","ror":"https://ror.org/04gjcva23","country_code":"US","type":"company","lineage":["https://openalex.org/I4210139661"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Matteo Riondato","raw_affiliation_strings":["Two Sigma Investments, New York, NY, USA"],"affiliations":[{"raw_affiliation_string":"Two Sigma Investments, New York, NY, USA","institution_ids":["https://openalex.org/I4210139661"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028869858","display_name":"Eli Upfal","orcid":"https://orcid.org/0000-0002-9321-9460"},"institutions":[{"id":"https://openalex.org/I27804330","display_name":"Brown University","ror":"https://ror.org/05gq02987","country_code":"US","type":"education","lineage":["https://openalex.org/I27804330"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Eli Upfal","raw_affiliation_strings":["Brown University, Providence, RI, USA"],"affiliations":[{"raw_affiliation_string":"Brown University, Providence, RI, USA","institution_ids":["https://openalex.org/I27804330"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5110486143"],"corresponding_institution_ids":["https://openalex.org/I27804330"],"apc_list":null,"apc_paid":null,"fwci":9.3369,"has_fulltext":true,"cited_by_count":84,"citation_normalized_percentile":{"value":0.98389264,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"825","last_page":"834"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12029","display_name":"DNA and Biological Computing","score":0.9977999925613403,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T12029","display_name":"DNA and Biological Computing","score":0.9977999925613403,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11269","display_name":"Algorithms and Data Compression","score":0.9976999759674072,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12072","display_name":"Machine Learning and Algorithms","score":0.9973999857902527,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6353501677513123},{"id":"https://openalex.org/keywords/vertex","display_name":"Vertex (graph theory)","score":0.5876124501228333},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5591358542442322},{"id":"https://openalex.org/keywords/suite","display_name":"Suite","score":0.5516871809959412},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4616713523864746},{"id":"https://openalex.org/keywords/variance","display_name":"Variance (accounting)","score":0.44812342524528503},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.42940765619277954},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.3365088403224945},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3292720913887024},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3012939989566803},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.15995490550994873}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6353501677513123},{"id":"https://openalex.org/C80899671","wikidata":"https://www.wikidata.org/wiki/Q1304193","display_name":"Vertex (graph theory)","level":3,"score":0.5876124501228333},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5591358542442322},{"id":"https://openalex.org/C79581498","wikidata":"https://www.wikidata.org/wiki/Q1367530","display_name":"Suite","level":2,"score":0.5516871809959412},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4616713523864746},{"id":"https://openalex.org/C196083921","wikidata":"https://www.wikidata.org/wiki/Q7915758","display_name":"Variance (accounting)","level":2,"score":0.44812342524528503},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.42940765619277954},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.3365088403224945},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3292720913887024},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3012939989566803},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.15995490550994873},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C121955636","wikidata":"https://www.wikidata.org/wiki/Q4116214","display_name":"Accounting","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2939672.2939771","is_oa":true,"landing_page_url":"https://doi.org/10.1145/2939672.2939771","pdf_url":"http://dl.acm.org/ft_gateway.cfm?id=2939771&type=pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/2939672.2939771","is_oa":true,"landing_page_url":"https://doi.org/10.1145/2939672.2939771","pdf_url":"http://dl.acm.org/ft_gateway.cfm?id=2939771&type=pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1675712236","display_name":null,"funder_award_id":"R01-CA180776","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"},{"id":"https://openalex.org/G7896411822","display_name":null,"funder_award_id":"IIS-1247581","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320332161","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2278390984.pdf","grobid_xml":"https://content.openalex.org/works/W2278390984.grobid-xml"},"referenced_works_count":42,"referenced_works":["https://openalex.org/W1542957328","https://openalex.org/W1551652843","https://openalex.org/W1595409123","https://openalex.org/W1608198436","https://openalex.org/W1767521945","https://openalex.org/W1967022297","https://openalex.org/W1974332999","https://openalex.org/W2002205566","https://openalex.org/W2002576896","https://openalex.org/W2010347674","https://openalex.org/W2011267080","https://openalex.org/W2016210396","https://openalex.org/W2016311778","https://openalex.org/W2037774459","https://openalex.org/W2044561565","https://openalex.org/W2082773934","https://openalex.org/W2093063455","https://openalex.org/W2094308804","https://openalex.org/W2094631006","https://openalex.org/W2101196063","https://openalex.org/W2107418220","https://openalex.org/W2108614537","https://openalex.org/W2110814195","https://openalex.org/W2117071406","https://openalex.org/W2119885577","https://openalex.org/W2123033955","https://openalex.org/W2124298085","https://openalex.org/W2124450885","https://openalex.org/W2136987366","https://openalex.org/W2137778430","https://openalex.org/W2140591663","https://openalex.org/W2153624566","https://openalex.org/W2154191591","https://openalex.org/W2158432527","https://openalex.org/W2231488453","https://openalex.org/W2259724869","https://openalex.org/W2278390984","https://openalex.org/W2288746969","https://openalex.org/W2366253925","https://openalex.org/W2570230709","https://openalex.org/W3198561048","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W2502115930","https://openalex.org/W2482350142","https://openalex.org/W4246396837","https://openalex.org/W3126451824","https://openalex.org/W1561927205","https://openalex.org/W3191453585","https://openalex.org/W4297672492","https://openalex.org/W4310988119","https://openalex.org/W4285226279","https://openalex.org/W4288019534"],"abstract_inverted_index":{"We":[0],"present":[1],"TRIEST,":[2],"a":[3,29],"suite":[4],"of":[5,15,26,37],"one-pass":[6],"streaming":[7],"algorithms":[8],"to":[9,22],"compute":[10],"unbiased,":[11],"low-variance,":[12],"high-quality":[13],"approximations":[14],"the":[16],"global":[17],"and":[18,40],"local":[19],"(i.e.,":[20],"incident":[21],"each":[23],"vertex)":[24],"number":[25],"triangles":[27],"in":[28],"fully-dynamic":[30],"graph":[31],"represented":[32],"as":[33],"an":[34],"adversarial":[35],"stream":[36],"edge":[38],"insertions":[39],"deletions.":[41]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":13},{"year":2019,"cited_by_count":21},{"year":2018,"cited_by_count":22},{"year":2017,"cited_by_count":12},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2016-06-24T00:00:00"}